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CardioFit: a WebGL-based tool for fast and efficient parametrization of cardiac action potential models to fit user-provided data

Royal Society Open Science(2025)10.1098/rsos.250048Source: DataRank Database

CardioFit: a WebGL-based tool for fast and efficient parametrization of cardiac action potential models to fit user-provided data is a research paper published in Royal Society Open Science (2025). On theSindex it has a DataRank of 0.

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Deposits data Open Access0 citations

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Repositories this paper deposited data in (declared in PubMed).

figshare10.6084/m9.figshare.c.7951972

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)Impact (FWCI 0.00)OA: goldTopics (16)IDs (PubMed, PMC, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (4)

Maxfield Roth Comstock,Flavio H. Fenton ORCID,Elizabeth M. Cherry ORCID,Darby I. Cairns

Live enrichment

PubMed:40881984 PMC:PMC12381663 OpenAlex:https://openalex.org/W4413969681

National Institutes of Health

Grant: 5R01HL143450-06

Integrative High-Resolution Experimental and Multiscale Modeling of Arrhythmias to Optimize Low Energy Anti-fibrillation Pacing (LEAP)

National Institutes of Health

Grant: 5T32GM142616-02

Integrative and Quantitative Biosciences Accelerated Training Environment

National Science Foundation

Grant: 2028677

CPS: Frontier: Collaborative Research: Compositional, Approximate, and Quantitative Reasoning for Medical Cyber-Physical Systems

National Institutes of Health

National Science Foundation

FWCI

0.00

Citation Percentile

0.3%

goldLicense: cc-by

journalhttps://doi.org/10.1098/rsos.250048

publisherhttps://doi.org/10.1098/rsos.250048

publisherhttps://royalsocietypublishing.org/doi/pdf/10.1098/rsos.250048

publisherhttps://royalsocietypublishing.org/doi/full-xml/10.1098/rsos.250048

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40881984

Fields of Study

Cardiac electrophysiology and arrhythmiasECG Monitoring and AnalysisCardiovascular Function and Risk Factors

Keywords

Parametrization (atmospheric modeling)Computer scienceAction (physics)Theoretical computer sciencePhysicsIdentifiabilityParticle Swarm OptimizationCardiac ModellingParameter FittingComputational Engineering, Finance, and Science (cs.CE)FOS: Computer and information sciencesComputer Science and Artificial IntelligenceComputer Science - Computational Engineering, Finance, and Science